More Women in Tech: Evidence from a Field Experiment Addressing Social Identity

Working Paper: CEPR ID: DP13234

Authors: Lucia Del Carpio; Maria Guadalupe

Abstract: This paper investigates whether social identity considerations-through beliefs and norms- drive women’s occupational choices. We implement two field experiments with potential applicants to a five-month software-coding program offered to women from low-income backgrounds in Peru and Mexico. When we correct the perception that women cannot succeed in technology by providing role models, information on returns and access to a female network, application rates double and the self-selection patterns change. Analysis of those patterns suggests that identity considerations act as barriers to entering the technology sector and that some high-cognitive skill women do not apply because of their high identity costs.

Keywords: No keywords provided

JEL Codes: J24; J16; D91


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
identity wedge (F55)barriers to entry for women in tech (J16)
higher cognitive skill women (J24)more likely to apply when identity costs are addressed (Z13)
identity considerations (F50)barriers to entry in technology sector (L63)
correcting the perception that women cannot succeed in technology (J16)doubling of application rates for a software coding program (C88)
identity debiasing message (D91)increased application rates (R14)
presence of a role model (C52)increased application rates (R14)

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